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Doxygen tutorials: cpp done
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Maksim Shabunin
@@ -9,46 +9,45 @@ In this tutorial we will learn how to:
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- Link OpenCV framework with Xcode
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- How to write simple Hello World application using OpenCV and Xcode.
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*Linking OpenCV iOS*
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--------------------
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Linking OpenCV iOS
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------------------
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Follow this step by step guide to link OpenCV to iOS.
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1. Create a new XCode project.
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2. Now we need to link *opencv2.framework* with Xcode. Select the project Navigator in the left
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-# Create a new XCode project.
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-# Now we need to link *opencv2.framework* with Xcode. Select the project Navigator in the left
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hand panel and click on project name.
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3. Under the TARGETS click on Build Phases. Expand Link Binary With Libraries option.
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4. Click on Add others and go to directory where *opencv2.framework* is located and click open
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5. Now you can start writing your application.
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-# Under the TARGETS click on Build Phases. Expand Link Binary With Libraries option.
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-# Click on Add others and go to directory where *opencv2.framework* is located and click open
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-# Now you can start writing your application.
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*Hello OpenCV iOS Application*
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------------------------------
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Hello OpenCV iOS Application
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----------------------------
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Now we will learn how to write a simple Hello World Application in Xcode using OpenCV.
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- Link your project with OpenCV as shown in previous section.
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- Open the file named *NameOfProject-Prefix.pch* ( replace NameOfProject with name of your
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project) and add the following lines of code.
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@code{.cpp}
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#ifdef __cplusplus
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#import <opencv2/opencv.hpp>
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#endif
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@endcode
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@code{.m}
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#ifdef __cplusplus
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#import <opencv2/opencv.hpp>
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#endif
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@endcode
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- Add the following lines of code to viewDidLoad method in ViewController.m.
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@code{.cpp}
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UIAlertView * alert = [[UIAlertView alloc] initWithTitle:@"Hello!" message:@"Welcome to OpenCV" delegate:self cancelButtonTitle:@"Continue" otherButtonTitles:nil];
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[alert show];
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@endcode
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@code{.m}
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UIAlertView * alert = [[UIAlertView alloc] initWithTitle:@"Hello!" message:@"Welcome to OpenCV" delegate:self cancelButtonTitle:@"Continue" otherButtonTitles:nil];
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[alert show];
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@endcode
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- You are good to run the project.
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*Output*
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--------
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Output
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------
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@@ -6,14 +6,14 @@ Goal
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In this tutorial we will learn how to do basic image processing using OpenCV in iOS.
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*Introduction*
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--------------
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Introduction
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------------
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In *OpenCV* all the image processing operations are usually carried out on the *Mat* structure. In
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iOS however, to render an image on screen it have to be an instance of the *UIImage* class. To
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convert an *OpenCV Mat* to an *UIImage* we use the *Core Graphics* framework available in iOS. Below
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is the code needed to covert back and forth between Mat's and UIImage's.
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@code{.cpp}
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@code{.m}
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- (cv::Mat)cvMatFromUIImage:(UIImage *)image
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{
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CGColorSpaceRef colorSpace = CGImageGetColorSpace(image.CGImage);
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@@ -37,7 +37,7 @@ is the code needed to covert back and forth between Mat's and UIImage's.
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return cvMat;
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}
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@endcode
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@code{.cpp}
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@code{.m}
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- (cv::Mat)cvMatGrayFromUIImage:(UIImage *)image
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{
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CGColorSpaceRef colorSpace = CGImageGetColorSpace(image.CGImage);
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@@ -63,12 +63,12 @@ is the code needed to covert back and forth between Mat's and UIImage's.
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@endcode
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After the processing we need to convert it back to UIImage. The code below can handle both
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gray-scale and color image conversions (determined by the number of channels in the *if* statement).
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@code{.cpp}
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@code{.m}
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cv::Mat greyMat;
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cv::cvtColor(inputMat, greyMat, COLOR_BGR2GRAY);
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@endcode
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After the processing we need to convert it back to UIImage.
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@code{.cpp}
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@code{.m}
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-(UIImage *)UIImageFromCVMat:(cv::Mat)cvMat
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{
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NSData *data = [NSData dataWithBytes:cvMat.data length:cvMat.elemSize()*cvMat.total()];
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@@ -106,10 +106,11 @@ After the processing we need to convert it back to UIImage.
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return finalImage;
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}
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@endcode
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*Output*
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Output
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--------
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Check out an instance of running code with more Image Effects on
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[YouTube](http://www.youtube.com/watch?v=Ko3K_xdhJ1I) .
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@@ -119,4 +120,3 @@ Check out an instance of running code with more Image Effects on
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<iframe width="560" height="350" src="http://www.youtube.com/embed/Ko3K_xdhJ1I" frameborder="0" allowfullscreen></iframe>
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</div>
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\endhtmlonly
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@@ -14,11 +14,11 @@ Including OpenCV library in your iOS project
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The OpenCV library comes as a so-called framework, which you can directly drag-and-drop into your
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XCode project. Download the latest binary from
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\<<http://sourceforge.net/projects/opencvlibrary/files/opencv-ios/>\>. Alternatively follow this
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<http://sourceforge.net/projects/opencvlibrary/files/opencv-ios/>. Alternatively follow this
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guide @ref tutorial_ios_install to compile the framework manually. Once you have the framework, just
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drag-and-drop into XCode:
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Also you have to locate the prefix header that is used for all header files in the project. The file
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is typically located at "ProjectName/Supporting Files/ProjectName-Prefix.pch". There, you have add
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@@ -54,7 +54,7 @@ First, we create a simple iOS project, for example Single View Application. Then
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an UIImageView and UIButton to start the camera and display the video frames. The storyboard could
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look like that:
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Make sure to add and connect the IBOutlets and IBActions to the corresponding ViewController:
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@code{.objc}
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@@ -127,7 +127,7 @@ should have at least the following frameworks in your project:
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- UIKit
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- Foundation
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#### Processing frames
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